System and Method for Creating a Census Hub in Resource Constrained Regions
First Claim
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1. A method comprising the steps of:
- receiving, by a computer system via a network, one or more sensor signals that represent attendee information about one or more physical attributes of one or more attendees attending a venue remotely located with respect to the computer system, and storing the attendee information in an attendee data record in a database, wherein the attendee data record is dynamically annotated with predefined metadata values by an embedded unit;
receiving, by the computer system, one or more data signals from one or more secondary data sources and storing non-census data determined from the data signals in one or more non-census data records;
correlating the non-census data records with the attendee data records to create a census hub, the correlation using one or more of a time factor, a location factor, and an identity factor;
generating an attendance forecast for the venue based on the correlated non-census data records and the attendee data records; and
generating a notification based on the attendance forecast.
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Abstract
The disclosure provides systems and methods for generating attendance census models using data received from a network of automated census sensors as well as various additional secondary data sources. The models may be generated and used in real time to provide attendance predictions, to efficiently allocate resources, and to detect fraud, among many other uses.
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Citations
20 Claims
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1. A method comprising the steps of:
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receiving, by a computer system via a network, one or more sensor signals that represent attendee information about one or more physical attributes of one or more attendees attending a venue remotely located with respect to the computer system, and storing the attendee information in an attendee data record in a database, wherein the attendee data record is dynamically annotated with predefined metadata values by an embedded unit; receiving, by the computer system, one or more data signals from one or more secondary data sources and storing non-census data determined from the data signals in one or more non-census data records; correlating the non-census data records with the attendee data records to create a census hub, the correlation using one or more of a time factor, a location factor, and an identity factor; generating an attendance forecast for the venue based on the correlated non-census data records and the attendee data records; and generating a notification based on the attendance forecast. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A networked census system comprising:
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a server comprising one or more computer processors and one or more memories coupled to the processor; and a networked set of attendance census gathering sensors, wherein each attendance census gathering sensor in the set of attendance census gathering sensors is in data communication with the server, and wherein the memory is configured to store program instructions executable by the processor to cause the server to perform the following; receiving via the network, one or more sensor signals that represent attendee information about one or more physical attributes of one or more attendees attending a venue in a set of venues remotely located with respect to the system, and storing the attendee information in an attendee data record in a database; receiving one or more data signals from one or more secondary data sources and storing non-census data determined from the data signals in one or more non-census data records; correlating the non-census data records with the attendee data records to create a census hub, the correlation using one or more of a time factor, a location factor, and an identity factor; generating an attendance model for the set of venues based on the correlated non-census data records and the attendee data records in the census hub; and generating a notification based on the attendance model. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification